Daniel Whiteson

The experimental particle physics group at the University of California, Irvine is seeking a postdoctoral researcher to work on the ATLAS experiment at the CERN Large Hadron Collider. The project is centered on high-energy collider physics and combines searches for beyond-the-Standard-Model particles and forces with the development and application of machine-learning tools for particle physics. The researcher will work primarily with Prof. Daniel Whiteson and will be part of the UCI ATLAS group, which also includes Profs. Andre Frankenthal, Anyes Taffard, and Andrew Lankford . The position can be based either at CERN or at UC Irvine, and the successful candidate will have broad latitude to pursue an independent research agenda within the group’s experimental particle physics program. The UCI ATLAS team is embedded in a collaborative environment that connects experimental particle physics with the university’s theory and phenomenology group and local machine-learning expertise through the UCI Center for Machine Learning. This role is therefore well suited to a researcher interested in combining collider data analysis, new-physics searches, and modern data-science methods in a leading international experiment.

Daniel Whiteson is hiring a postdoctoral researcher at the intersection of high energy physics and machine learning , with a focus on the ATLAS Experiment . The post highlights a role with substantial freedom to work independently and creatively, making it attractive for candidates who want to contribute to discovery-oriented research in particle physics while applying modern ML methods. Institution: University of California, Irvine. Research areas: high energy physics, particle physics, machine learning, ATLAS. Position type: postdoc. Funding: not specified in the post. How to apply: use the application portal linked in the post for the “Postdoctoral Researcher position in the ATLAS Experiment.” Deadline: not stated in the post.

Daniel Whiteson, Physics Professor at the University of California, Irvine, is hiring a postdoc at the intersection of high energy physics and machine learning . This opportunity is aimed at a researcher who wants a high degree of independence and creativity while contributing to work that could help discover the next big thing in physics. The post is framed as a postdoctoral opening rather than a scholarship or studentship. Research areas: high energy physics, machine learning, physics-informed data analysis, computational methods. Institution: University of California, Irvine, United States. Eligibility highlights: postdoc-level applicants with interest in HEP and ML; no additional formal requirements are listed in the post. How to apply: use the application portal linked by the poster. Check the portal for the full call, documents, and any deadline information.